fitStudentDist-class: An S4 class to fit a Student distribution on a vector of...

In optimalThreshold: Bayesian Methods for Optimal Threshold Estimation

Description

This class allows to fit a t distribution on the marker values x.

Details

This class is automatically created when the user applies the fit function with the argument distr="t". You never have to create manually this class, it is created internally.

Slots

x

This slot takes in argument the marker values. Numeric argument.

n

Length of x vector (including NA values). Numeric argument.

ini

This slot is a list of initial values passed to the MCMC algorithm. List argument.

thin

This slot is a strictly positive integer value that specifies the 'thin' applied to the MCMC algorithm.

burnin

This slot is a positive integer value that specifies the length of the burnin period in the MCMC algorithm.

model

This slot is a character string that specifies the model passed to the JAGS software to perform the MCMC algorithm.

mcmc

This slot allows the main function to know whether an MCMC algorithm must be performed to sample the distribution parameters from their posterior distribution.

See Also

fit for more details on how to fit a t distribution.

optimalThreshold documentation built on Jan. 13, 2020, 5:06 p.m.